Mastering System Identification in 100 Exercises

Written for graduate students and professionals, this book takes readers step by step through a series of MATLAB exercises that show how to measure and model linear dynamic systems in the presence of nonlinear distortions from a practical point of view. Each exercise is followed by a short discussion illustrating lessons that can be learned. Topics include aspects of system identification, analysis of the standard deviation, and model selection using the Akaike information criterion (AIC).

MATLAB and System Identification Toolbox are introduced and used to solve numerous examples in the book. In addition, a supplemental set of MATLAB code files is available for download.